| Did you know ... | Search Documentation: |
| Pack logtalk -- logtalk-3.100.1/docs/apis/_sources/search_indexing_0.rst.txt |
.. index:: single: search_indexing .. _search_indexing/0:
.. rst-class:: right
category
search_indexingShared helpers for adaptive search-index construction and range queries used by clustering libraries.
| Availability:
| logtalk_load(clustering_protocols(loader))
| Author: Paulo Moura | Version: 1:0:0 | Date: 2026-04-23
| Compilation flags:
| static
| Uses: | :ref:`avltree <avltree/0>` | :ref:`list <list/0>`
| Remarks: | (none)
| Inherited public predicates: | (none)
.. contents:: :local: :backlinks: top
(no local declarations; see entity ancestors if any)
.. index:: build_auto_search_index/3 .. _search_indexing/0::build_auto_search_index/3:
build_auto_search_index/3 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Builds an adaptive search index by selecting either a grid index or a metric tree based on dataset shape.
| Compilation flags:
| static
| Template:
| build_auto_search_index(Rows,Options,SearchIndex)
| Mode and number of proofs:
| build_auto_search_index(+list(pair),+list(compound),-compound) - one
.. index:: build_metric_tree/3 .. _search_indexing/0::build_metric_tree/3:
build_metric_tree/3 ^^^^^^^^^^^^^^^^^^^^^^^
Builds a metric tree search index for encoded dataset rows.
| Compilation flags:
| static
| Template:
| build_metric_tree(Rows,Options,MetricTree)
| Mode and number of proofs:
| build_metric_tree(+list(pair),+list(compound),-compound) - one
.. index:: build_grid_index/3 .. _search_indexing/0::build_grid_index/3:
build_grid_index/3 ^^^^^^^^^^^^^^^^^^^^^^
Builds a grid-based search index for encoded dataset rows using the object-defined cell size.
| Compilation flags:
| static
| Template:
| build_grid_index(Rows,Options,GridIndex)
| Mode and number of proofs:
| build_grid_index(+list(pair),+list(compound),-compound) - one
.. index:: range_query/5 .. _search_indexing/0::range_query/5:
range_query/5 ^^^^^^^^^^^^^^^^^
Queries a search index for rows within the given epsilon distance of an encoded feature vector.
| Compilation flags:
| static
| Template:
| range_query(SearchIndex,Vector,Options,Epsilon,Neighbors)
| Mode and number of proofs:
| range_query(+compound,+list(number),+list(compound),+number,-list(pair)) - one
.. index:: search_index_cell_size/2 .. _search_indexing/0::search_index_cell_size/2:
search_index_cell_size/2 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Returns the grid cell size to use when constructing a grid-based search index.
| Compilation flags:
| static
| Template:
| search_index_cell_size(Options,CellSize)
| Mode and number of proofs:
| search_index_cell_size(+list(compound),-number) - one
.. index:: select_metric_pivot/4 .. _search_indexing/0::select_metric_pivot/4:
select_metric_pivot/4 ^^^^^^^^^^^^^^^^^^^^^^^^^
Selects a pivot row and returns the remaining rows decorated and sorted by distance to that pivot.
| Compilation flags:
| static
| Template:
| select_metric_pivot(Rows,Options,Pivot,SortedRows)
| Mode and number of proofs:
| select_metric_pivot(+list(pair),+list(compound),-pair,-list(pair)) - one
.. index:: distance/4 .. _search_indexing/0::distance/4:
distance/4 ^^^^^^^^^^^^^^
Computes the distance between two encoded feature vectors using the effective object options.
| Compilation flags:
| static
| Template:
| distance(Options,Vector1,Vector2,Distance)
| Mode and number of proofs:
| distance(+list(compound),+list(number),+list(number),-number) - one
.. index:: split_sorted_rows/5 .. _search_indexing/0::split_sorted_rows/5:
split_sorted_rows/5 ^^^^^^^^^^^^^^^^^^^^^^^
Splits rows decorated with distances into inner and outer partitions and returns their boundary distances.
| Compilation flags:
| static
| Template:
| split_sorted_rows(SortedRows,InnerUpperBound,OuterLowerBound,InnerRows,OuterRows)
| Mode and number of proofs:
| split_sorted_rows(+list(pair),-number,-number,-list(pair),-list(pair)) - one
(no local declarations; see entity ancestors if any)
(none)